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Standard deviation of a tensor, alongside the specified axis.

tf.keras.backend.std( x, axis=None, keepdims=False )

It is an alias to `tf.math.reduce_std`

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Arguments | |
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`x` | A tensor or variable. It should have numerical dtypes. Boolean type inputs will be converted to float. |

`axis` | An integer, the axis to compute the standard deviation. If `None` (the default), reduces all dimensions. Must be in the range `[-rank(x), rank(x))` . |

`keepdims` | A boolean, whether to keep the dimensions or not. If `keepdims` is `False` , the rank of the tensor is reduced by 1. If `keepdims` is `True` , the reduced dimension is retained with length 1. |

Returns | |
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A tensor with the standard deviation of elements of `x` with same dtype. Boolean type input will be converted to float. |

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Licensed under the Creative Commons Attribution License 3.0.

Code samples licensed under the Apache 2.0 License.

https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/keras/backend/std